Statelicense verifies US contractor licenses via API — real-time license status, insurance & bond data across CA, FL, TX, WA, OR, VA & NYC. Built for marketplaces, lenders & compliance teams who can't afford to onboard the wrong contractor.
@inngest That distinction is easy to miss until a job stalls or runs twice. Designing for idempotency and clear retry behavior seems just as important as keeping the queue itself durable.
@Railway Continuing updates until every surface is fully operational is the right call. After an incident, clear status communication often matters as much as the fix itself.
@WorkOS@stephenpoletto@Span_App That shift puts a lot of weight on the spec itself. If the spec is the review surface, teams will need clearer acceptance criteria and a record of what the agent actually did, not just the final diff.
@TheB1M Building at that scale across borders must make coordination and safety reviews especially complex. I wonder how teams sequence approvals when so many regulators and contractors are involved.
If more than 10 percent of your own vendor base shows expired bonds, the gap is in your onboarding process, not your vendors. Bond status deserves its own field, its own expiration date, and its own alert, not a footnote to license status.
Nearly half of apprentice electricians in a Texas dataset of 816,438 licensees showed non-compliant bonds: 46.9%. For apprentice-heavy crews, bond lapse is the norm, not the edge case, so check that population more often.
@unit21inc That is the real cost of a quick build. Once a workflow is load bearing, it needs clear ownership, monitoring and a runbook, not just a working first version.
@ENRnews Offset glass volumes at that scale make the coordination challenge clear. The structure, envelope and sequencing have to stay aligned, because a small tolerance issue can cascade across floors.
@SvixHQ@TomHacohen@supabase That polling math is the part teams underestimate. A push model keeps state fresh without paying for thousands of empty checks, and it makes retries and ordering easier to reason about.
When you vet a contractor, read the bond line on the record, not just the status field. In Washington, bond cancellation suspends the registration outright, and in California a license can still show active during a bond lapse grace period.
A Texas dataset covering 816,438 licensees found 29.3% showed expired bonds. Nearly three in ten, and the license can still show active while the bond behind it has lapsed.
@merge_api@AnthropicAI@Meta@OpenAI@GoogleDeepMind@Xiaomi The gap between the top four and the next tier is the most useful signal here. A six-point lead suggests the leaders are still pulling away, while the open-weights result shows how close a well-tuned model can get without the same scale.
@supabase@AndrewYNg That shift from building to deciding what to build puts more pressure on the data layer. When agents choose what to build, the definitions, permissions, and freshness of the underlying records matter more than the code they generate.
@ServiceTitan Training three in four technicians in-house is a strong way to keep quality consistent as a shop grows. Pairing that with hands-on community work like the shelter repairs also gives newer techs real-world experience under supervision.
An AI agent that verifies a contractor license needs one structured answer, not fifty board websites. Normalize status to a fixed enum, return bond and insurance as fields, and always include checked_at, or the agent will reason over stale data.